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The Fractal Geometry of the Brain

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Cover of 'The Fractal Geometry of the Brain'

Table of Contents

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    Book Overview
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    Chapter 1 The Fractal Geometry of the Brain: An Overview
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    Chapter 2 Box-Counting Fractal Analysis: A Primer for the Clinician
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    Chapter 3 Tenets and Methods of Fractal Analysis (1/f Noise)
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    Chapter 4 Tenets, Methods, and Applications of Multifractal Analysis in Neurosciences
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    Chapter 5 Fractals in Neuroanatomy and Basic Neurosciences: An Overview
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    Chapter 6 Morphology and Fractal-Based Classifications of Neurons and Microglia
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    Chapter 7 The Morphology of the Brain Neurons: Box-Counting Method in Quantitative Analysis of 2D Image
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    Chapter 8 Neuronal Fractal Dynamics
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    Chapter 9 Does a Self-Similarity Logic Shape the Organization of the Nervous System?
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    Chapter 10 Fractality of Cranial Sutures
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    Chapter 11 The Fractal Geometry of the Human Brain: An Evolutionary Perspective
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    Chapter 12 Fractal Analysis in Clinical Neurosciences: An Overview
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    Chapter 13 Fractal Analysis in Neurological Diseases
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    Chapter 14 Fractal Dimension Studies of the Brain Shape in Aging and Neurodegenerative Diseases
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    Chapter 15 Fractal Analysis in Neurodegenerative Diseases
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    Chapter 16 Fractal Analysis of the Cerebrovascular System Physiopathology
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    Chapter 17 Fractals and Chaos in the Hemodynamics of Intracranial Aneurysms
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    Chapter 18 Fractal-Based Analysis of Arteriovenous Malformations (AVMs)
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    Chapter 19 Fractals in Neuroimaging
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    Chapter 20 Computational Fractal-Based Analysis of MR Susceptibility-Weighted Imaging (SWI) in Neuro-oncology and Neurotraumatology
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    Chapter 21 Texture Estimation for Abnormal Tissue Segmentation in Brain MRI
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    Chapter 22 Tumor Growth in the Brain: Complexity and Fractality
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    Chapter 23 Histological Fractal-Based Classification of Brain Tumors
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    Chapter 24 Computational Fractal-Based Analysis of Brain Tumor Microvascular Networks
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    Chapter 25 Fractal Analysis of Electroencephalographic Time Series (EEG Signals)
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    Chapter 26 On Multiscaling of Parkinsonian Rest Tremor Signals and Their Classification
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    Chapter 27 Fractals and Electromyograms
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    Chapter 28 Fractal Analysis in Neuro-ophthalmology
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    Chapter 29 Fractals in Affective and Anxiety Disorders
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    Chapter 30 Fractal Fluency: An Intimate Relationship Between the Brain and Processing of Fractal Stimuli
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    Chapter 31 Computational Fractal-Based Neurosciences: An Overview
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    Chapter 32 ImageJ in Computational Fractal-Based Neuroscience: Pattern Extraction and Translational Research
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    Chapter 33 Fractal Analysis in MATLAB: A Tutorial for Neuroscientists
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    Chapter 34 Methodology to Increase the Computational Speed to Obtain the Fractal Dimension Using GPU Programming
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    Chapter 35 Fractal Electronics as a Generic Interface to Neurons
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    Chapter 36 Fractal Geometry Meets Computational Intelligence: Future Perspectives
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    Chapter 37 Erratum to: The Fractal Geometry of the Brain
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Title
The Fractal Geometry of the Brain
Published by
Springer-Verlag New York, January 2016
DOI 10.1007/978-1-4939-3995-4
ISBNs
978-1-4939-3993-0, 978-1-4939-3995-4
Editors

Antonio Di Ieva

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 5 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 5 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 60%
Researcher 2 40%
Student > Master 1 20%
Readers by discipline Count As %
Neuroscience 4 80%
Computer Science 1 20%
Biochemistry, Genetics and Molecular Biology 1 20%